Bitumen Emulsion—Mineral Surface Interactions: An NMR Study on the Interface Layer Composition

沥青 化学 沥青质 乳状液 化学工程 吸附 硅酸盐 图层(电子) 核磁共振波谱 核磁共振谱数据库 矿物学 表层 矿物 泥浆 化学成分 萃取(化学) 分析化学(期刊) 作文(语言) 表面能 碳-13核磁共振 脉冲场梯度 成分数据 固态核磁共振 磁化 粘土矿物 表面张力 质子核磁共振
作者
Andrei V. Filippov,Hilde Soenen,Oleg N. Antzutkin
出处
期刊:Magnetic Resonance in Chemistry [Wiley]
卷期号:64 (2): 170-178
标识
DOI:10.1002/mrc.70056
摘要

ABSTRACT Compositions containing bitumen emulsions and solids have many applications, such as soil stabilization, cold mix asphalt preparation, dust binding, surface dressing and slurry sealing. Therefore, the interaction of bitumen with minerals is of great interest in science and applications. In the interaction of bitumen emulsion with a mineral surface, one of the processes that influence the properties of the bitumen–mineral composition is the formation of interface layers. Nuclear magnetic resonance can provide insights into the interactions of bitumen and minerals at the molecular level. However, the presence of magnetic constituents in most solids as well as the background magnetic field gradients at the interface does not allow the use of NMR to its full potential. In this work, we describe a 1 H NMR approach to study the interface layer formed by a specified bitumen emulsion in the presence of non‐magnetic as well as magnetic minerals. This approach is based on the consecutive flushing off of “bulky” components of the bitumen emulsion and the following extraction of the surface layer material, which can then be analyzed by NMR spectroscopy. As a proof of concept, this technique was tested on samples prepared using a bitumen emulsion and four different silicate minerals. The 1 H NMR study showed that interfacial layers may accumulate asphaltenes adsorbed to mineral surfaces to a different extent depending on the specific elemental composition of minerals. More asphaltenes were detected in the interfacial layers on surfaces of studied minerals with a higher content of calcium.
最长约 10秒,即可获得该文献文件

科研通智能强力驱动
Strongly Powered by AbleSci AI
科研通是完全免费的文献互助平台,具备全网最快的应助速度,最高的求助完成率。 对每一个文献求助,科研通都将尽心尽力,给求助人一个满意的交代。
实时播报
科研通AI6.4的应助被Dai采纳,获得10
刚刚
生动栾发布了新的文献求助10
刚刚
852的应助被Dawn2143采纳,获得30
刚刚
刚刚
1秒前
1秒前
1秒前
2秒前
june发布了新的文献求助10
2秒前
核桃发布了新的文献求助10
2秒前
香蕉觅云的应助被哆来米采纳,获得10
3秒前
夜影星空完成签到,获得积分10
3秒前
Jdjin完成签到,获得积分20
4秒前
4秒前
4秒前
5秒前
NicotineZen发布了新的文献求助10
6秒前
6秒前
甜在霖中完成签到 ,获得积分10
7秒前
8秒前
隐形曼青的应助被瓜996采纳,获得10
9秒前
NicotineZen完成签到,获得积分10
10秒前
10秒前
等等发布了新的文献求助10
10秒前
asdf完成签到,获得积分10
11秒前
11秒前
Mystyle完成签到,获得积分10
11秒前
12秒前
夕阳完成签到,获得积分10
12秒前
耸耸完成签到 ,获得积分10
13秒前
Orange的应助被ljx1019采纳,获得10
13秒前
李坤鹏完成签到 ,获得积分10
13秒前
SHENGYAN完成签到,获得积分20
13秒前
14秒前
chenchenchen发布了新的文献求助10
14秒前
yuni完成签到 ,获得积分10
15秒前
夕阳发布了新的文献求助10
16秒前
Tina发布了新的文献求助10
16秒前
Dawn2143发布了新的文献求助30
16秒前
阿衡发布了新的文献求助10
16秒前
高分求助中
(应助此贴封号)【重要!!请各用户(尤其是新用户)详细阅读】【科研通的精品贴汇总】 10000
Les Mantodea De Guyane 2000
Guidelines for fracture-safe and fatigue-reliable design of steel structures 600
The Basics of Practical Optimization, Second Edition 600
Problems and Solutions for Integer and Combinatorial Optimization: Building Skills in Discrete Optimization 600
Organizational Behavior 510
Atelier, 2nd edition 500
热门求助领域 (近24小时)
化学 材料科学 医学 生物 纳米技术 计算机科学 工程类 有机化学 化学工程 生物化学 物理 复合材料 内科学 催化作用 光电子学 人工智能 细胞生物学 无机化学 物理化学 数学
热门帖子
关注 科研通微信公众号,转发送积分 7992294
求助须知:如何正确求助?哪些是违规求助? 9447829
关于积分的说明 21113780
捐赠科研通 7565242
什么是DOI,文献DOI怎么找? 3378685
关于科研通互助平台的介绍 2512553
邀请新用户注册赠送积分活动 2412335